LEADER 02235oam 2200613 a 450 001 9910701796503321 005 20120405145938.0 035 $a(CKB)5470000002420128 035 $a(OCoLC)783838231 035 $a(OCoLC)995470000002420128 035 $a(EXLCZ)995470000002420128 100 $a20120405d1985 ua 0 101 0 $aeng 135 $aurbn||||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aCrop area estimation based on remotely-sensed data with an accurate but costly subsample$b[electronic resource] $efinal report /$fRichard F. Gunst 210 1$aDallas, Tex. :$cDept. of Statistics, Southern Methodist University ; [Washington, D.C.] :$cNational Aeronautics and Space Administration,$d[1985?] 215 $a1 online resource (ii, 12 pages, 6 unnumbered pages) 225 1 $aNASA-CR ;$v176017 300 $aTitle from title screen (viewed on Apr. 5, 2012). 320 $aIncludes bibliographical references (page 12) 517 $aCrop area estimation based on remotely-sensed data with an accurate but costly subsample 606 $aAerial photography$2nasat 606 $aBiomass$2nasat 606 $aCrop inventories$2nasat 606 $aError analysis$2nasat 606 $aEstimating$2nasat 606 $aForests$2nasat 606 $aGround truth$2nasat 606 $aLeast squares method$2nasat 606 $aRemote sensing$2nasat 606 $aTimber inventory$2nasat 615 7$aAerial photography. 615 7$aBiomass. 615 7$aCrop inventories. 615 7$aError analysis. 615 7$aEstimating. 615 7$aForests. 615 7$aGround truth. 615 7$aLeast squares method. 615 7$aRemote sensing. 615 7$aTimber inventory. 700 $aGunst$b Richard F.$f1947-$030423 712 02$aSouthern Methodist University.$bDepartment of Statistics. 712 02$aUnited States.$bNational Aeronautics and Space Administration. 801 0$bGPO 801 1$bGPO 801 2$bGPO 906 $aBOOK 912 $a9910701796503321 996 $aCrop area estimation based on remotely-sensed data with an accurate but costly subsample$93441541 997 $aUNINA